Antonio Piccolboni

24 total papers · 6.2k total citations
17 papers, 2.6k citations indexed

About

Antonio Piccolboni is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Antonio Piccolboni has authored 17 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Artificial Intelligence and 3 papers in Genetics. Recurrent topics in Antonio Piccolboni's work include Genomics and Chromatin Dynamics (7 papers), Protein Structure and Dynamics (6 papers) and Algorithms and Data Compression (5 papers). Antonio Piccolboni is often cited by papers focused on Genomics and Chromatin Dynamics (7 papers), Protein Structure and Dynamics (6 papers) and Algorithms and Data Compression (5 papers). Antonio Piccolboni collaborates with scholars based in United States, Italy and Singapore. Antonio Piccolboni's co-authors include Philipp Kapranov, Jill Cheng, T Gingeras, Hari Tammana, Gregg Helt, Jörg Drenkow, Stefan Bekiranov, Shane Brubaker, Victor Sementchenko and Sandeep Patel and has published in prestigious journals such as Science, Cell and Nature Genetics.

In The Last Decade

Antonio Piccolboni

16 papers receiving 2.5k citations

Hit Papers

Transcriptional Maps of 1... 2004 2026 2011 2018 2005 2004 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Antonio Piccolboni 2.3k 758 323 225 138 17 2.6k
Leo J. Lee 4.3k 1.8× 830 1.1× 442 1.4× 243 1.1× 201 1.5× 16 5.1k
Žiga Avsec 2.0k 0.9× 286 0.4× 585 1.8× 123 0.5× 200 1.4× 14 2.7k
Benjamin Schuster‐Böckler 1.5k 0.7× 530 0.7× 355 1.1× 183 0.8× 41 0.3× 26 2.1k
Christof Angermueller 2.0k 0.9× 406 0.5× 288 0.9× 100 0.4× 243 1.8× 9 2.6k
Jeremy Gollub 2.1k 0.9× 598 0.8× 275 0.9× 326 1.4× 151 1.1× 18 3.3k
Carolina Perez‐Iratxeta 2.4k 1.0× 222 0.3× 404 1.3× 149 0.7× 238 1.7× 37 3.0k
Yoseph Barash 3.0k 1.3× 482 0.6× 379 1.2× 119 0.5× 196 1.4× 62 3.6k
Chandra L. Theesfeld 2.5k 1.1× 259 0.3× 511 1.6× 202 0.9× 66 0.5× 34 3.3k
Michael M. Hoffman 1.5k 0.6× 229 0.3× 309 1.0× 133 0.6× 168 1.2× 37 2.0k
François Major 3.3k 1.4× 639 0.8× 405 1.3× 140 0.6× 49 0.4× 69 3.6k

Countries citing papers authored by Antonio Piccolboni

Since Specialization
Citations

This map shows the geographic impact of Antonio Piccolboni's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Antonio Piccolboni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Piccolboni more than expected).

Fields of papers citing papers by Antonio Piccolboni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonio Piccolboni. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Antonio Piccolboni. The network helps show where Antonio Piccolboni may publish in the future.

Co-authorship network of co-authors of Antonio Piccolboni

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Piccolboni. A scholar is included among the top collaborators of Antonio Piccolboni based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Antonio Piccolboni. Antonio Piccolboni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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